电信应对OTT TV的IPTV发展策略浅析

本文分析了OTT TV业务在目前的发展情况,并与电信的IPTV业务进行了比较,通过SWOT分析,明晰了电信IPTV在OTT业务冲击下所面临的问题,由此提出了近期发展IPTV的策略,即利用OTT优势,进行技术和内容的融合,并对中远期发展提出了建议。     

OTT TV的发展阶段和业务模式研究

首先阐明OTT TV的概念、产业链构成,然后结合产业链和监管政策的演进对OTT Tv业务发展阶段进行了划分,并具体分析了每一阶段产业链各方对于OTT业务模式的探索实践,最后提出OTT Tv的5种业务模式,并分析其盈利能力和演进方向,以供业界参考。     

基于XDR数据分析的OTT视频服务感知质量评估方法

互联网电视(over the top,OTT)视频业务逐渐成为最流行的在线业务之一,然而网络视频往往由于网络质量差、服务平台过载等原因,出现播放失败、卡顿次数增加、缓冲时间过长等质量问题,导致用户感知质量(quality of experience,QoE)下降.因此,运营商需要精确评估和掌握用户在使用网络视频业务过程...     

Merging social computing with content: a proposal of a new film platform,Avids

ABSTRACT

Film consumers are continuously online and active in various social platforms. This phenomenon has led over-the-top (OTT) providers – empowered by social computing technologies – to establish a social media presence and incorporate elements drawn from social media into their services. However, little is known about existing OTT interfaces and their key social features. This study sought to provide a structured categorisation of the most salient social media features of the best-known applications in the OTT video business. In addition, a new social content network model, Avids, was proposed to connect individuals socially through films. Avids reaches beyond more fixed, functionality-based approaches applied in the development of OTT video sites and focuses on components related to sociality. This approach ensures a unified system in which the overall social media setting is embedded in every functional area of the platform’s architecture, thereby allowing applications to trigger and support social behaviours absent from traditional OTT providers. A purpose-built international online survey was administered to 479 film lovers to assess how Avids’ main features compare with traditional OTT video providers. The questionnaire was based on the technology acceptance model. The results confirm the critical role of sociality in film viewing-related activities.     

Catch-up TV forecasting: enabling next-generation over-the-top multimedia TV services

Due to recent developments in Over-The-Top (OTT) technologies, Pay-TV operators have begun a migration process of managed IP Television (IPTV) services to more appealing OTT approaches. In these scenarios, being able to predict when and what resources will be necessary at any given point is crucial to a high-quality, efficient, and cost-effective operation, especially when dealing with the dynamic and resource-intensive requirements of IPTV multimedia services. To evaluate the advantages of demand forecasting for efficient Catch-up TV delivery on OTT scenarios, this research work explores several classes of machine learning models regarding their accuracy, computational requirement trade-offs, and deployability. The training process relies on a dataset comprised of Catch-up TV usage logs acquired from an IPTV operator’s live production service containing over 1 million subscribers. A predictive and dynamic resource provisioning approach is proposed and evaluated in terms of bandwidth and storage savings. Results demonstrate that forecasting Catch-up TV demand is practical, suitable for integration in OTT solutions, and useful in improving efficiency, with benefits to operators and consumers. Significant savings in bandwidth and storage are shown to be achievable, enabling green and cost-effective resource usage.     

A Multicast-Enabled Delivery Framework for QoE Assurance of Over-The-Top Services in Multimedia Access Networks

Over-The-Top (OTT) video services are becoming more and more important in today’s broadband access networks. While original OTT services only offered short duration medium quality videos, more recently, premium content such as high definition full feature movies and live video are offered as well. For operators, who see the potential in providing Quality of Experience (QoE) assurance for an increased revenue, this introduces important new network management challenges. Traditional network management paradigms are often not suited for ensuring QoE guarantees as the provider does not have any control on the content’s origin. In this article, we focus on the management of an OTT-based video service. We present a loosely coupled architecture that can be seamlessly integrated into an existing OTT-based video delivery architecture. The framework has the goal of resolving the network bottleneck that might occur from high peaks in the requests for OTT video services. The proposed approach groups the existing Hypertext Transfer Protocol (HTTP) based video connections to be multicasted over an access network’s bottleneck and then splits them again to reconstruct the original HTTP connections. A prototype of this architecture is presented, which includes the caching of videos and incorporates retransmission schemes to ensure robust transmission. Furthermore, an autonomic algorithm is presented that allows to intelligently select which OTT videos need to be multicasted by making a remote assessment of the cache state to predict the future availability of content. The approach was evaluated through both simulation and large scale emulation and shows a significant gain in scalability of the prototype compared to a traditional video delivery architecture.     

OTT user authentication system by age classification

The number and types of channels and programs that viewers can choose have been explosively increased since the digital broadcasting service was provided to almost every household while the ground wave broadcastings have been stayed. Since sexual, violent, and antisocial contents have been rapidly it increased to competition broadcasting. The primary goal of this study is to develop a system to restrict viewing of adolescents for improper broadcasting linking with the contents DB system inside OTT device. For the purpose an algorithm to detect the age of viewers of OTT broadcasting is proposed.     

利用SMOS卫星数据反演海洋盐度方法研究

以星载微波遥感的辐射传输方程为基础,利用 SMOS(土壤湿度海洋盐度)卫星的L1C级亮温数据,通过与辐射传输模型模拟的亮温进行对比,评估及验证亮温的数据质量,建立了海洋盐度反演算法。通过分析2012年7月东南太平洋区域(45°~5°S,140°~90°W)的下降轨道数据,发现MIRAS亮温与模型模拟亮温之间总是存在几K的系统偏差,即OTT,因此提出了两种反演盐度的方法:一种是修正OTT偏差,使用入射角0°~55°的数据反演盐度;另一种是不修正OTT偏差,使用大入射角范围35°~55°的数据进行盐度反演。再通过利用MIRAS多角度信息,对亮温作二阶多项式拟合,减少随机噪声对反演的影响。最后采用最小二乘法,使得MIRAS的二阶拟合亮温与模型仿真亮温最接近,迭代反演盐度值。并将反演结果分别与欧空局的L2级盐度数据产品和Argo盐度数据进行比较,来验证反演算法。结果表明:修正OTT之后全角度数据反演的盐度值在50 km×50 km范围内、卫星过境前后5 d,与Argo浮标盐度匹配比较的均值为1.38 pss,标准差为0.35 pss;不修正OTT,直接利用大入射角范围35°~55°的MIRAS亮温反演盐度,与Argo盐度误差均值为0.03 pss,标准差为0.33 pss;同时欧空局的L2级盐度与Argo盐度误差均值为0.26 pss,标准差为0.38 pss。可见利用大入射角范围的反演方法很好地反演了海洋盐度。     

透过“天山云”看新疆的三网融合

着重介绍了新疆本土三网融合的典型应用"天山云",并从主要功能和相对优势方面进行了论述。通过横向对比IPTV和OTT TV,深入讲述了新疆的三网融合现状。     

基于众包感知的OTT业务体验影响因素分析

随着移动互联网和OTT （Over-the-top）业务的高速发展,传统以网络为中心的运维方式难以为继,因此如何提高用户业务体验、变革传统网络质量的评价和优化方法迫在眉睫。本文围绕基于终端侧业务感知大数据进行网络和业务质量评价这一新型网络评价与运维作业模式,首先对影响端到端用户业务感知的因素进行了较全面的剖析;并利用从普通用户终端上采集的现网真实的海量业务感知数据,重点针对网页浏览这一代表性的OTT业务,从多个不同的维度深入研究影响业务感知的关键因素,以及关键业务感知指标间的关联关系,揭示了OTT业务感知的关键影响因素间的内在联系。研究结果对于进一步分析业务感知质差成因、合理构建用户体验质量（Quality of experience,QoE）映射模型等具有很好的参考价值。     

基于B/S和OTT的健康信息管理平台

设计了一种新型的基于B/S架构的社区居民健康信息采集、管理平台。针对居民便利得到健康信息的要求,集成了OTT类通讯软件的推送服务,符合移动互联网在医疗信息应用领域的发展趋势。     

广电智能终端操作系统安全模型及技术实现

随着“三网融合”地不断推进,智能终端上承载的内容日趋多样化.如何确保下一代广播电视网络TVOS操作系统在智能电视终端平台上运行的各种数字电视业务的安全性、满足广电运营商对智能电视终端安全的要求是目前急需解决的关键技术问题.操作系统自身的安全尤为重要,本文从技术及安全角度对下一代广播电视网络TVOS智能电视操作系统的安全机制、安全体系架构加以分析论述,提出了广电智能终端操作系统自身的安全模型及技术实现方案.     

Software-Defined Multicast for Over-the-Top and Overlay-based Live Streaming in ISP Networks

The increasing amount of over-the-top (OTT) live streams and the lack of global network layer multicast support poses challenges for a scalable and efficient streaming over the Internet. Content Delivery Networks (CDNs) help by delivering the streams to the edge of almost every Internet Service Provider (ISP) network of the world but usually also end there. From there on, the streams are to be delivered to the clients using IP unicast, although an IP multicast functionality would be desirable to reduce the load on CDN nodes, transit links, and the ISP infrastructure. IP multicast is usually not available due to missing control and management features of the protocol. Alternatively, Peer-to-Peer (P2P) mechanisms can be applied to extend the overlay multicast functionality of the CDN towards the clients. Unfortunately, P2P only improves the situation for the CDN but makes it more challenging for the ISP as even more unicast flows are generated between clients inside and outside the ISP network. To tackle this problem, a Software-Defined Networking-based cross-layer approach, called Software-Defined Multicast (SDM), is proposed in this paper, enabling ISPs to offer network layer multicast support for OTT and overlay-based live streaming as a service. SDM is specifically tailored towards the needs of P2P-based video stream delivery originating from outside the ISP network and can easily be integrated with existing streaming systems. Prototypical evaluations show significantly improved network layer transmission efficiencies when compared to other overlay streaming mechanisms, down to a level as low as for IP multicast, at linearly bounded costs.     

End-to-End Resource Management for Federated Delivery of Multimedia Services

Recently, the Internet has become a popular platform for the delivery of multimedia content. Currently, multimedia services are either offered by Over-the-top (OTT) providers or by access ISPs over a managed IP network. As OTT providers offer their content across the best-effort Internet, they cannot offer any Quality of Service (QoS) guarantees to their users. On the other hand, users of managed multimedia services are limited to the relatively small selection of content offered by their own ISP. This article presents a framework that combines the advantages of both existing approaches, by dynamically setting up federations between the stakeholders involved in the content delivery process. Specifically, the framework provides an automated mechanism to set up end-to-end federations for QoS-aware delivery of multimedia content across the Internet. QoS contracts are automatically negotiated between the content provider, its customers, and the intermediary network domains. Additionally, a federated resource reservation algorithm is presented, which allows the framework to identify the optimal set of stakeholders and resources to include within a federation. Its goal is to minimize delivery costs for the content provider, while satisfying customer QoS requirements. Moreover, the presented framework allows intermediary storage sites to be included in these federations, supporting on-the-fly deployment of content caches along the delivery paths. The algorithm was thoroughly evaluated in order to validate our approach and assess the merits of including intermediary storage sites. The results clearly show the benefits of our method, with delivery cost reductions of up to 80 % in the evaluated scenario.     

基于OTT策略的组合测试用例优先级排序方法

在组合测试用例优先级排序问题中,通常采用组合覆盖率为排序标准,该方法能够尽快满足覆盖率的要求,但其排序影响因子较为单一,缺陷检测能力不稳定。针对此问题,该文结合One-Test-at-a-Time（OTT）策略提出了一种在线调整的组合测试用例优先级排序方法,引入多重待覆盖率、测试用例失效率和测试用例重要程度3个影响因子用于衡量组合测试用例优先级。根据测试用例的在线测试反馈信息,该方法能够实时调整组合测试用例的优先级,增加了优先级排序的准确性。实验结果表明,相较于original、基于单一覆盖和多重覆盖的组合测试优先级排序方法,该方法在缺陷检测能力和稳定性上具有更强的竞争力。     

Recent developments in visual quality monitoring by key performance indicators

In addition to traditional Quality of Service (QoS), Quality of Experience (QoE) poses a real challenge for Internet service providers, audio-visual services, broadcasters and new Over-The-Top (OTT) services. Therefore, objective audio-visual metrics are frequently being dedicated in order to monitor, troubleshoot, investigate and set benchmarks of content applications working in real-time or off-line. The concept proposed here, Monitoring of Audio Visual Quality by Key Performance Indicators (MOAVI), is able to isolate and focus investigation, set-up algorithms, increase the monitoring period and guarantee better prediction of perceptual quality. MOAVI artefacts Key Performance Indicators (KPI) are classified into four categories, based on their origin: capturing, processing, transmission, and display. In the paper, we present experiments carried out over several steps with four experimental set-ups for concept verification. The methodology takes into the account annoyance visibility threshold. The experimental methodology is adapted from International Telecommunication Union – Telecommunication Standardization Sector (ITU-T) Recommendations: P.800, P.910 and P.930. We also present the results of KPI verification tests. Finally, we also describe the first implementation of MOAVI KPI in a commercial product: the NET-MOZAIC probe. Net Research, LLC, currently offers the probe as a part of NET-xTVMS Internet Protocol Television (IPTV) and Cable Television (CATV) monitoring system.     

基于工作流的太湖流域片水土保持监管服务平台建设

为实现水土保持监管规范化和现代化，按照水利部关于水土保持信息化建设总体部署和智慧太湖建设要求，立足太湖流域片水土保持监管监测业务实际，基于工作流理念，在全面串联分析流域生产建设项目水土保持监管监测业务的不同用户对象，不同阶段的工作逻辑和流程、数据信息及流向的基础上，提出太湖流域片生产建设项目水土保持监管服务平台的结构框架与工作流程模型的总体设计，并介绍平台应用子系统的主要功能。基于工作流的太湖流域片生产建设项目水土保持监管服务平台，实现水土保持全业务全流程的无纸化、自动化、精细化闭环管理，满足相关用户的信息化需求，可良好适应新形势下水土保持监管工作要求，促进水土保持工作模式、管理方式转型。     

采用AVR控制器的GPS授时与定位装置的设计与制作

以解析GPS的时间信息和位置信息为目标,通过使用嵌入式GPS模块和AVR控制器,设计和制作GPS授时与定位装置,实现时间信息和位置信息的解析和显示等问题;首先给出了基于GPS模块和AVR控制器的授时与定位装置的整体构架,然后对各个部分的硬件进行详细设计,给出了硬件设计电路和软件设计框图;最后对所设计的基于GPS模块和AVR控制器的授时与定位装置进行实物制作,证明了设计内容的正确性和可行性,具有一定的实际应用价值。     

变轨距货车转向架的动力学分析

建立了考虑轮轴间隙的三大件式变轨距货车转向架动力学模型,研究车辆在准轨和宽轨线路上的动力学性能和LM踏面在不同轨距线路上的轮轨接触关系.考虑轨距为1435mm和1520mm、轨底坡为1/40和1/20、标准和打磨后的多种钢轨廓形与LM踏面匹配,发现LM踏面对两种轨底坡的兼容性较好,而踏面磨耗后对轨底坡变化较敏感;LM踏面在准轨线路上对轮轴横向间隙比较敏感,而在宽轨线路上则不存在这个问题.轮轴之间的横向和旋转间隙会导致车辆临界速度降低,建议控制间隙在0.6mm和0.5mrad以内;轮轴间隙不影响车辆运行安全性和平稳性,且在准轨和宽轨线路上的动力学指标基本无差异.变轨距车辆运行过程中,轮轨横向力和纵向蠕滑力会导致轮轴横向间隙和旋转间隙动态变化,变化量为间隙值;给出轮轴间隙与轮轨载荷的正态分布统计,发现轮轴间隙载荷与轮轨载荷相当.     

杂散电流一体化智能综合监控分析系统的研究

针对杂散电流的泄露对设备及主体结构腐蚀和危害较大,常规检测技术功能单一的问题,提出了融合导通柜、排流柜、钢轨电位限位装置的一体化综合监控分析系统。通过分析钢轨电位与杂散电流的关系,并对导通柜、排流柜、及钢轨电位限制装置作智能化设计,能够进行智能化排流。系统包括参比电极、采集器、监测装置、排流柜、单向导通装置、主站后台等,根据全线杂散电流控制指标,结合不同设备状态及其与杂散电流系统的耦合情况,对多元参数进行分析运算,给出智能导通柜、排流柜、及钢轨电位限制装置一体化最优控制方式,以达到最优化的杂散电流治理效果。试验表明,本文设计的方案最大限度的减少了杂散电流的泄露对设备及主体结构的腐蚀和危害,延长设备及轨道洞体结构的使用寿命。